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We asked physicists to tell us about a time they failed
One thing about stories of scientific failure is they usually start with the exciting possibility of discovering something brand new. For Professor Jodie Bradby, who co-leads the Advanced Materials Group at the ANU Research School of Physics, it was a new structure of silicon. “Solving the structure of an element as important as silicon would…
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Nanofluidic qPCR unable to detect and serotype Streptococcus pneumoniae in urine samples of hospitalized South African patients with community-acquired pneumonia
Abstract Pneumonia is a major cause of death among adults living with HIV in South Africa, but the etiology of many cases remains unknown. This study evaluated the utility of a nanofluidic qPCR assay to detect and serotype Streptococcus pneumoniae in urine samples from patients hospitalized with community-acquired pneumonia (CAP). The nanofluidic qPCR assay was…
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Why I launched Malaysia’s first scientific newspaper
Mahaletchumy Arujanan wants to make science more accessible to the general public.Credit: Mahaletchumy Arujanan In 2008, Mahaletchumy Arujanan graduated with a PhD in science communication from the University of Malaya in Kuala Lumpur. She was the first person in her country to get such a degree. Three years later, as executive director of the Malaysian…
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Nanofluidic qPCR unable to detect and serotype Streptococcus pneumoniae in urine samples of hospitalized South African patients with community-acquired pneumonia
Abstract Pneumonia is a major cause of death among adults living with HIV in South Africa, but the etiology of many cases remains unknown. This study evaluated the utility of a nanofluidic qPCR assay to detect and serotype Streptococcus pneumoniae in urine samples from patients hospitalized with community-acquired pneumonia (CAP). The nanofluidic qPCR assay was…
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Species identification of phlebotomine sandflies using deep learning and wing interferential pattern (WIP)
Abstract Sandflies (Diptera; Psychodidae) are medical and veterinary vectors that transmit diverse parasitic, viral, and bacterial pathogens. Their identification has always been challenging, particularly at the specific and sub-specific levels, because it relies on examining minute and mostly internal structures. Here, to circumvent such limitations, we have evaluated the accuracy and reliability of Wing Interferential…
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Making sense of chemical space network shows signs of criticality
Abstract Chemical space modelling has great importance in unveiling and visualising latent information, which is critical in predictive toxicology related to drug discovery process. While the use of traditional molecular descriptors and fingerprints may suffer from the so-called curse of dimensionality, complex networks are devoid of the typical drawbacks of coordinate-based representations. Herein, we use…
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SEVtras characterizes cell-type-specific small extracellular vesicle secretion
Although single-cell RNA-sequencing has revolutionized biomedical research, exploring cell states from an extracellular vesicle viewpoint has remained elusive. We present an algorithm, SEVtras, that accurately captures signals from small extracellular vesicles and determines source cell-type secretion activity. SEVtras unlocks an extracellular dimension for single-cell analysis with diagnostic potential. This is a preview of subscription content,…
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DNA methylation rates scale with maximum lifespan across mammals
Abstract DNA methylation rates have previously been found to broadly correlate with maximum lifespan in mammals, yet no precise relationship has been observed. We developed a statistically robust framework to compare methylation rates at conserved age-related sites across mammals. We found that methylation rates negatively scale with maximum lifespan in both blood and skin. The…
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Dynamic implications of the biological link between bovine milk and meat production for operationalizing the planetary health diet
Abstract The EAT–Lancet planetary health diet (PHD) provides guidelines on a global scale and calls for red meat consumption to be halved. Operational PHD guidelines at country level have yet to be determined. Here we argue that the biological link between milk and bovine-meat production must be considered when operationalizing the globally calculated PHD to…
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Deep contrastive learning of molecular conformation for efficient property prediction
Abstract Data-driven deep learning algorithms provide accurate prediction of high-level quantum-chemical molecular properties. However, their inputs must be constrained to the same quantum-chemical level of geometric relaxation as the training dataset, limiting their flexibility. Adopting alternative cost-effective conformation generative methods introduces domain-shift problems, deteriorating prediction accuracy. Here we propose a deep contrastive learning-based domain-adaptation method…